resume
Background, experience, and selected works.
General Information
Full Name
Matthias Christenson
Skills
Machine Learning, Time-Series Modeling, MLOps, Statistical Analysis, Cloud (AWS, GCP)
Languages
English (fluent), German (fluent), Spanish (working proficiency), French (basics)
Programming
Python, SQL, Javascript, C++, Git, Bash, Unix, Docker
Python Stack
scikit-learn, numpy, scipy, pandas, matplotlib, seaborn, dask, xarray, pytorch, transformers, lightning, pyro, cvxpy, Flask, Dask, streamlit, dash
Experience
2026-present
Head of Medical Data and AI · Sanoptis, Zurich, Switzerland
2024-2026
Chief AI Architect & Scientist · MTN, Salt Lake City, USA (remote)
2024-present
Adjunct Faculty · University of Utah, Salt Lake City, USA (remote)
2024-2024
Deep Learning Research Engineer · DeepLife, Paris, France (remote)
2022-2023
Postdoctoral Research Scientist · Columbia University, New York, USA
2016-2022
Doctoral Research Scientist · Columbia University, New York, USA
2013-2016
Undergraduate Research Assistant (part-time) · University College London, London, UK
Education
2022
PhD · Columbia University, New York, USA
2016
MSci · University College London, London, UK
Honors and Awards
2024
NIH A2 Collective Award
2020
NIH T32 Vision Research Grant
CoSyNe Presenters Travel Grant
2019
NIH T32 Vision Research Grant
2018
Cold Spring Harbor Asia Summer School Stipend
2016
Burnstock Prize - Best in Class
Dean's List - UCL Life Sciences
2015
Dean's List - UCL Life Sciences
UCL ChangeMakers Stipend
Physiological Society Undergraduate Vacation Studentship
2014
UCL Research Stipend
2011
Deutscher Mathematiker Verein Award
selected works
-
Assessing Foundation Models’ Transferability to Physiological Signals in Precision MedicineAI in Medicine Conference, 2024
-
Inferring feedforward inputs to data-constrained recurrent neural networksColumbia Neurotheory Meeting, 2021
Interests
- Skiing and mountaineering
- Board games (especially Catan Cities & Knights)
- Dancing (from waltzing to salsa)
- Understanding dynamical systems (from financial markets to biological circuits)